Skip to main navigation Skip to search Skip to main content

Camera location optimisation for traffic surveillance in urban road networks with multiple user classes

  • Xiao Shan Lu
  • , Hai Jun Huang*
  • , Jiancheng Long
  • *Corresponding author for this work
  • Beihang University
  • Hefei University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

New sensor technologies (e.g. surveillance cameras, loop detectors) enable the synthesis of disaggregated vehicle information from multiple locations. This article studies the camera location problem for traffic surveillance in urban road networks with multiple user classes. All users are differentiated by their own acceptance degree of camera monitoring and make their route choices in a logit-based stochastic user equilibrium manner. A bi-level programming model is proposed to formulate the problem and solved by the sensitivity analysis based branch and bound method. Numerical examples are presented to illustrate the model application and show the effectiveness of the solution method.

Original languageEnglish
Pages (from-to)2211-2222
Number of pages12
JournalInternational Journal of Systems Science
Volume44
Issue number12
DOIs
StatePublished - 1 Dec 2013

Keywords

  • bi-level programming
  • branch and bound method
  • camera location
  • sensitivity analysis
  • traffic assignment
  • traffic surveillance

Fingerprint

Dive into the research topics of 'Camera location optimisation for traffic surveillance in urban road networks with multiple user classes'. Together they form a unique fingerprint.

Cite this